Instructions to use CodeIsAbstract/HybridModelScratch_lightn_Conti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridModelScratch_lightn_Conti with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridModelScratch_lightn_Conti", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download best_model_streaming/tokenizer.json from CodeIsAbstract/HybridModelScratch_lightn_Conti: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/CodeIsAbstract/HybridModelScratch_lightn_Conti/resolve/main/best_model_streaming/tokenizer.json
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch_lightn_Conti/best_model_streaming/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/CodeIsAbstract/HybridModelScratch_lightn_Conti/resolve/main/best_model_streaming/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.